In brief: A historical look into how brain computer interfaces have transformed over the past few decades: the landmark research of the past, the landmark research of today, and how it’s going to transform the future of XR. As a neuroscientist for about a decade, my work has focused on how people represent spatial contexts, concepts, and events. I have been able to place people in VR experiences and then through the use of neuroimaging and AI methods untangle their thoughts and how those thoughts influenced what they remember. As this neuroimaging technology reduces in form-factor and increases in accessibility, we can no longer turn a blind-eye to how it may be used nefariously in consumer products. In this talk, I will describe how Brain-computer interfaces (BCIs) have been defined over the years, how research in this field has catapulted, an overview of the neuroscience behind the technology, the landmark studies of the past and present, use-cases in which XR, robotics, prosthetics and BCI have intertwined, and how new AI models are being used to perform mind-reading of both language and mental images. “With great power comes great responsibility” – I will end the talk by describing how and what it means for the future of XR and why it’s important to be careful with this technology, but also how incredibly empowering it can be for the future of XR.
Category: robotics/AI – Page 2
On Anthropic’s Fable farce — and why you can’t lock down AI in real life
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Recursive Self Improvement
Computer, load up celery man.
Can AI build AI? Yes, and it already is. Sort of. I showcase the ability of AI agents like claude code to perform AI research, to build and optimize machine learning algorithms. I put various state-of-the-art LLMs like claude Mythos/Fable into an endless recursive research loop and have them build a neural network that learns the shape of the mandelbrot set. It is inspired by Andrej Karpathy’s autoresearch. While we watch this loop, I express my thoughts on the concept of recursive self improvement, arguing that it is possible, hard, and dangerous.
Sorry for the bitrate issues.
Fractalsearch repo: coming soon!
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Patreon: / emergentgarden.
Twitter: / max_romana.
Bluesky: https://bsky.app/profile/emergentgard… Autoreasearch: https://github.com/karpathy/autoresearch Mandelbrot Zoom: • Mandelbrot World Record Attempt — Part 1 (… Celery Man:
• Tim and Eric — Celery Man Karpathy’s Youtube:
/ @andrejkarpathy Self-building Cranes:
• How Tower Cranes Build Themselves Darwin-Godel Machine: https://arxiv.org/abs/2505.22954 Hashgrid Paper: https://arxiv.org/abs/2201.05989 Anthropic’s RSI Article: https://www.anthropic.com/institute/r… Fable System Card: https://www-cdn.anthropic.com/d00db56… My Music Guy:
/ @acolyte-compositions “Equatorial Complex” Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/b… ~TIMESTAMPS~ (0:00) Recursive Self Improvement (3:14) fractalsearch (9:56) RSI is Possible (15:03) RSI is Hard (21:52) RSI is Dangerous (26:03) Results (28:28) Cost (29:29) Takeoff.
~SOURCES~
Autoreasearch: https://github.com/karpathy/autoresearch.
Mandelbrot Zoom: • Mandelbrot World Record Attempt — Part 1 (…
Celery Man: • Tim and Eric — Celery Man.
Karpathy’s Youtube: / @andrejkarpathy.
Self-building Cranes: • How Tower Cranes Build Themselves.
Darwin-Godel Machine: https://arxiv.org/abs/2505.22954
Hashgrid Paper: https://arxiv.org/abs/2201.05989
Anthropic’s RSI Article: https://www.anthropic.com/institute/r…
Fable System Card: https://www-cdn.anthropic.com/d00db56…
My Music Guy: / @acolyte-compositions.
The World in 100 Years FULL EPISODE | Science Fiction Documentary
What will the world really look like in 100 years?
Forget flying cars, impossible megacities, and science-fiction fantasies. This documentary explores a realistic vision of life in the year 2,126 based on current trends in artificial intelligence, climate adaptation, biotechnology, energy, space exploration, economics, and human evolution.
How will cities change as the planet warms? What happens when AI becomes part of everyday life? Will humans live to 120 years? Will neural implants blur the line between biology and technology? Could Mars become a permanent home for thousands of people? And what happens to society when work, truth, privacy, and even human identity are redefined?
Travel one century into the future and discover a world that is both familiar and radically different from our own. A world shaped by the choices humanity is making right now.
From climate-engineered cities and fusion-powered civilizations to Martian settlements, artificial intelligence, genetic medicine, digital consciousness, and the search for life beyond Earth, this is a deep exploration of the most plausible future awaiting our species.
The future isn’t written.
Machine Learning and Artificial Intelligence for Infectious Disease Surveillance, Diagnosis, and Prognosis
Advances in high-throughput technologies, digital phenotyping, and increased accessibility of publicly available datasets offer opportunities for big data to be applied in infectious disease surveillance, diagnosis, treatment, and outcome prediction. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to analyze complex clinical and molecular data. However, it remains unclear which AI or ML models are most suitable for infectious disease management, as most existing studies use non-scoping literature reviews to recommend AI and ML models for data analysis. This scoping literature review thus examines the ML models and applications that are most relevant for infectious disease management, with a proposed actionable workflow for implementing ML models in clinical practice.
Agentjacking Attack Tricks AI Coding Agents Into Running Malicious Code
Researchers warn Agentjacking can abuse Sentry errors to make AI coding agents run malicious code on developer machines.
Godfather Of AI: We Don’t Even Know We’re Near The END — Geoffrey Hinton
🔒 Make yourself and your family AI-scam proof, step by step → https://neuralnutshell.com.
The Nobel Prize-winner Geoffrey Hinton, computer scientist popularly called the \.
AI Misbehavior Is No Longer Confined to the Lab
Further Reading.
Thumbail original image used credit: Adobe Stock Image.
Graph from: Scheming in the wild: detecting real-world AI scheming incidents with open-source intelligence.
Shutdown resistance in reasoning models.
https://palisaderesearch.org/blog/shu…
Natural emergent misalignment from reward hacking in production RL
https://arxiv.org/html/2511.18397v1
Scheming in the wild: detecting real-world AI scheming incidents with open-source intelligence.
https://arxiv.org/abs/2604.
[CRITICAL Security Issue/Bug] Plan mode restrictions bypassed when spawning sub-agents #6527
https://github.com/anomalyco/opencode…
#explained.
#science #artificialintelligence #tech #misalignment
Future technologies ranked by how real they actually are
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